
Dennis Praet
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Dennis Praet's performance-implied value at EUR 1.4M-2.4M, above the estimated acquisition range of EUR 0.4M-1.7M. Its 24-month market value projection is EUR 0.3M-1.0M. Context-adjusted goal contributions are 0.34x the positional average in the league (1755 minutes, league coefficient 0.65). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Acquisition note: Contract end date unavailable: range widened by 15% each side.
Bargain Index: 6
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 60.4th pct among MID peers (age-neutral) |
| Age | Unfavorable | 32.1 years |
| Acquisition cost | Favorable | est. €933k vs market €1.5M |
| Expected appreciation | Very low | -62% over ~2 years (model) |
| Value gap | Large | weak predictor on its own |
| Development | Low | |
| League translation | Moderate | league coefficient 0.65 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | High | |
| Data confidence | Medium |
Bargain Index = percentile (among all evaluated players) of expected 2-year value relative to estimated cost. See methodology and backtests.
Market value history
Market value ≠ transfer fee ≠ acquisition cost.
Profile vs positional peers
Percentiles among 1163 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1755 (65% of available)
- Goals + assists / 90
- 0.00
- Context-adjusted G+A / 90
- 0.04
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 60 (Above average)
Adjusted = shrunk toward positional baseline for small samples, corrected for team dominance over opponents, expressed relative to positional peers in the same league.
Context
- League strength
- 0.65 (rank 6)
- Team strength (Elo)
- 1365
- Opponent strength
- 1380
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- stable
- Breakout probability
- Age > 23
- Resale range (24m)
- €346k – €971k
Trajectory drivers: minutes share up 35 pts; team strength down (-77 Elo); role change CM -> DM; relative output down 48% vs positional peers.
Historical comparables (8): median 2-year value change -77% (IQR -81% to -30%).
Risk profile
Overall: High
- ▲Age 32: resale value typically declines.
- ⚠Limited sample: 1755 league minutes last season.
- ⚠No continental-competition minutes last season.
- ⓘContract end date unavailable (or stale in source).
- ⓘInjury history unavailable from current data source.
League translation
What happened to players who moved from this league to the big-five leagues (observed, not a forecast).
- Historical movers
- 60 (MID)
- Relative output kept
- 63%–142%
- Held a regular role (900+ min)
- 72%
- Confidence
- Medium
Output is relative to positional peers in each league. Movers are a selected group (clubs buy players who fit), so treat this as context, not a guarantee.
Season-by-season (domestic league)
Context-adjusted values are model outputs.
| Season | Club | League | Pos | Apps | Min | Min share | G | A | G+A/90 | Adj. G+A/90 | Opp. Elo | Team Elo | League str. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025/26 | Royal Antwerp FC | Jupiler Pro League | DM | 22 | 1755 | 65% | 0 | 0 | 0.00 | 0.04 | 1380 | 1365 | 0.65 |
| 2024/25 | Royal Antwerp FC | Jupiler Pro League | CM | 16 | 817 | 30% | 0 | 1 | 0.11 | 0.14 | 1340 | 1442 | 0.63 |
| 2022/23 | Leicester City | Premier League | CM | 22 | 640 | 19% | 1 | 0 | 0.14 | 0.19 | 1581 | 1498 | 1.23 |
| 2021/22 | Torino FC | Serie A | AM | 23 | 1535 | 45% | 2 | 2 | 0.23 | 0.33 | 1457 | 1423 | 0.89 |
| 2020/21 | Leicester City | Premier League | AM | 15 | 723 | 21% | 1 | 1 | 0.25 | 0.32 | 1546 | 1585 | 1.19 |
| 2019/20 | Leicester City | Premier League | CM | 27 | 1133 | 33% | 1 | 2 | 0.24 | 0.23 | 1578 | 1563 | 1.14 |
| 2018/19 | UC Sampdoria | Serie A | CM | 34 | 2894 | 85% | 2 | 3 | 0.16 | 0.18 | 1440 | 1407 | 0.78 |
| 2017/18 | UC Sampdoria | Serie A | CM | 32 | 2666 | 78% | 1 | 2 | 0.10 | 0.15 | 1479 | 1393 | 0.86 |
| 2016/17 | UC Sampdoria | Serie A | CM | 32 | 1799 | 53% | 1 | 1 | 0.10 | 0.15 | 1472 | 1414 | 0.88 |
| 2016/17 | RSC Anderlecht | Jupiler Pro League | CM | 1 | 61 | 2% | 0 | 0 | 0.00 | 0.11 | 1229 | 1576 | 0.62 |
| 2015/16 | RSC Anderlecht | Jupiler Pro League | LM | 27 | 2281 | 84% | 4 | 7 | 0.43 | 0.28 | 1328 | 1510 | 0.57 |
| 2014/15 | RSC Anderlecht | Jupiler Pro League | AM | 20 | 1715 | 64% | 5 | 7 | 0.63 | 0.41 | 1306 | 1460 | 0.54 |
| 2013/14 | RSC Anderlecht | Jupiler Pro League | AM | 28 | 1894 | 70% | 3 | 5 | 0.38 | 0.22 | 1320 | 1440 | 0.49 |
| 2012/13 | RSC Anderlecht | Jupiler Pro League | CM | 21 | 1387 | 51% | 2 | 5 | 0.45 | 0.21 | 1376 | 1554 | 0.56 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Jupiler Pro League Europe Play Offs | Royal Antwerp FC | 9 | 773 | 0 | 0 | 1351 |
| 2022/23 | Fa Cup | Leicester City | 2 | 85 | 0 | 0 | — |
| 2021/22 | Italy Cup | Torino FC | 1 | 9 | 0 | 0 | — |
| 2020/21 | Uefa Europa League | Leicester City | 6 | 355 | 1 | 0 | 1454 |
| 2020/21 | Fa Cup | Leicester City | 2 | 107 | 0 | 1 | — |
| 2019/20 | Fa Cup | Leicester City | 4 | 327 | 0 | 0 | — |
| 2018/19 | Italy Cup | UC Sampdoria | 3 | 300 | 0 | 0 | — |
| 2017/18 | Italy Cup | UC Sampdoria | 3 | 270 | 0 | 0 | — |
| 2016/17 | Uefa Europa League Qualifying | RSC Anderlecht | 1 | 69 | 0 | 0 | 1399 |
| 2016/17 | Italy Cup | UC Sampdoria | 2 | 39 | 0 | 0 | — |
| 2015/16 | Uefa Europa League | RSC Anderlecht | 9 | 785 | 0 | 1 | 1578 |
| 2014/15 | Uefa Champions League | RSC Anderlecht | 6 | 519 | 1 | 2 | 1666 |
| 2014/15 | Volkswagen Supercup | RSC Anderlecht | 1 | 66 | 0 | 0 | 1398 |
| 2013/14 | Uefa Champions League | RSC Anderlecht | 6 | 409 | 0 | 0 | 1693 |
| 2013/14 | Volkswagen Supercup | RSC Anderlecht | 1 | 81 | 0 | 0 | 1453 |
| 2012/13 | Uefa Champions League | RSC Anderlecht | 5 | 311 | 0 | 0 | 1511 |
| 2012/13 | Uefa Champions League Qualifying | RSC Anderlecht | 1 | 90 | 1 | 1 | 1348 |
| 2012/13 | Volkswagen Supercup | RSC Anderlecht | 1 | 61 | 1 | 0 | 1365 |
Small continental samples are shown for context only and are not over-weighted.
Historical comparables
Most similar profiles 2+ years ago (same position group) and what happened next. Chosen by similarity only — failures included.
| Player (then) | Age | Value then | ~2y later | Outcome |
|---|---|---|---|---|
| Eyong Enoh Jupiler Pro League · 2017 | 31 | €1.0M | €200k | fell |
| Abdullah Durak Super Lig · 2017 | 30 | €1.0M | €150k | fell |
| Luíz Carlos Liga Portugal · 2016 | 31 | €2.0M | €250k | fell |
| Doga Kaya Super Lig · 2014 | 30 | €1.0M | €250k | fell |
| Seba Pérez Liga Portugal · 2022 | 29 | €1.5M | €2.0M | rose |
| Yannick Cahuzac Ligue 1 · 2014 | 29 | €1.5M | €1.0M | fell |
| Francesco Magnanelli Serie A · 2018 | 34 | €800k | €650k | flat |
| Morgan Schneiderlin Ligue 1 · 2021 | 32 | €7.0M | €1.5M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2026 | Royal Antwerp | Without Club | Unknown | €1.5M |
| 6 Sept 2024 | Leicester | Royal Antwerp | Free / loan | €4.0M |
| 30 Jun 2022 | Torino | Leicester | Free / loan | €13.0M |
| 31 Aug 2021 | Leicester | Torino | Free / loan | €18.0M |
| 8 Aug 2019 | Sampdoria | Leicester | €19.2M | €24.0M |
| 24 Aug 2016 | RSC Anderlecht | Sampdoria | €8.0M | €9.0M |
| 1 Jul 2011 | Anderlecht U19 | RSC Anderlecht | Unknown | Data unavailable |
| 1 Jul 2010 | KRC Genk U17 | Anderlecht U19 | €650k | Data unavailable |
| 1 Jul 2009 | KRC Genk Youth | KRC Genk U17 | Unknown | Data unavailable |
| 1 Jul 2003 | OH Leuven Yth. | KRC Genk Youth | Free / loan | Data unavailable |
MoneyballAI identifies statistical opportunities from available data. A player flagged as a potential bargain is not guaranteed to succeed, to transfer, to rise in value, or to generate resale profit. Market values, fees and contracts come from third-party sources; ranges are model estimates with stated confidence.